基于支持向量机的间谐波检测及其在LabVIEW平台的实现  

Interharmonic Detection Based on Regressive Type of Support Vector Machine and Its Realization on Platform of Lab VIEW

作　　者：刘开培[1] 周莉[1] 马秉伟[1] 

机构地区：[1]武汉大学电气工程学院,湖北省武汉市430072

出　　处：《电网技术》2006年第5期76-80,共5页Power System Technology

摘　　要：支持向量机方法以结构风险最小化为原则为机器学习提供了一个崭新的角度,以广泛应用于模式识别和函数拟合中。以支持向量机方法为理论基础,并以当今应用广泛、功能强大的图形化软件开发集成环境LabVIEW为开发平台, 设计实现了间谐波检测系统。该系统具有结构简单、精度高等特点,能准确地检测出间谐波,具有很好的实用价值。Support vector machine （SVM） based on the principle of structure risk minimization provides a brand new direction for machine learning and is widely used in pattern recognition and function fitting. Taking SVM as theoretical foundation and applying graph based integrated software developing platform LabView, an interharmonic detection system possessing the features of simple structure and high precision is designed and implemented, which can precisely detect the interharmonics and can be well used in practice.

关 键 词：支持向量机 间谐波 LABVIEW 

分 类 号：TM93[电气工程—电力电子与电力传动]